Paper-based, computer-based, and combined data-driven learning using a web-based concordancer

K. Chujo, L. Anthony, Kathryn Oghigian, A. Uchibori
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引用次数: 20

Abstract

Very few studies have investigated the use of data-driven learning (DDL) in the beginner-level EFL classroom, and few or no studies have compared the use of paper-based, computer-based and combined approaches. This paper reports on the results of a three-year comparative case study of computer-based, paperbased, and combined computerand paper-based DDL using a parallel corpus for beginner-level university students. Students followed guided tasks on a worksheet to inductively understand target grammar patterns, had an explicit confirmation or correction of their hypotheses, and did follow up practice. The DDL exercises were done on a bilingual concordancer using newspaper corpus. It was demonstrated that each DDL approach can be effective for improving grammar basics such as understanding and producing noun phrases. Preand post-tests showed students made significant gains using all three approaches, and there does not appear to be any significant difference in effectiveness among the three approaches.
很少有研究调查数据驱动学习(DDL)在初学者水平的英语课堂中的使用,很少或没有研究比较纸质、计算机和综合方法的使用。本文报告了基于平行语料库的计算机DDL、纸质DDL和计算机与纸质结合DDL的三年对比案例研究结果。学生按照工作表上的指导任务归纳理解目标语法模式,明确确认或纠正他们的假设,并进行后续练习。DDL练习是在使用报纸语料库的双语协和仪上完成的。结果表明,每种DDL方法都可以有效地提高语法基础,如理解和生成名词短语。前后测试表明,学生使用所有三种方法都取得了显著的进步,三种方法之间的有效性似乎没有任何显着差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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